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Data Engineer (Digital Marketing sphere)

Moldova

Company Background

The client is a global leader in media and advertising technology, bridging the gap between brands and consumers through innovative data-driven solutions. By offering powerful data insights, end-to-end service, and advanced planning capabilities, the company empowers its clients to connect with audiences across all screens and channels. With a forward-thinking team and cutting-edge platform, the company is redefining how digital media is measured, targeted, and optimized.

Project Description

The project focuses on the development and continuous improvement of the infrastructure that supports data accessibility, insights generation, and decision-making processes across various departments. You will be responsible for the architecture, development, and maintenance of scalable data models, pipelines, and ETL/ELT processes. You will play a critical role in enabling business stakeholders and technical teams to make informed decisions based on reliable, optimized, and high-quality data.

Technologies

  • Python
  • SQL
  • Airflow
  • GitLab
  • Grafana
  • Kibana
  • ELT/ETL

What You'll Do

  • Take full ownership of BI pipeline development from design to production;
  • Design, build, and maintain scalable analytics data pipelines that empower self-service data access and strategic decision-making;
  • Collaborate with stakeholders across Business, Product, and Engineering teams to translate business requirements into technical implementations;
  • Design and advise on dimensional modeling, data warehouse architecture, and best practices for ETL/ELT processes;
  • Serve as an expert in writing efficient SQL queries and optimizing database performance;
  • Provide technical guidance on database schema design to engineering teams;
  • Research and implement integrations with external APIs and services to enrich data pipelines;
  • Monitor, maintain, and improve data quality, reliability, and accessibility;
  • Contribute to architectural improvements that enhance scalability and maintainability.

Job Requirements

  • 3+ years of experience as a Data Engineer;
  • Strong expertise in BI concepts including ETL, data warehouse design, dimensional modeling, and data quality monitoring;
  • Advanced proficiency in SQL and experience with query optimization and performance tuning;
  • Hands-on experience with Python for scripting and automation (Java is an advantage);
  • Experience using ETL orchestration tools like Airflow;
  • Familiarity with tools like GitLab, Grafana, and Kibana;
  • Solid understanding of high-level architecture and scalable data systems;
  • Strong verbal and written communication skills in English (B2+ level);
  • Self-starter attitude, adaptable to fast-paced environments with shifting priorities;
  • Detail-oriented with a proactive and solution-focused mindset.

What Do We Offer

The global benefits package includes:

  • Technical and non-technical training for professional and personal growth;
  • Internal conferences and meetups to learn from industry experts;
  • Support and mentorship from an experienced employee to help you professional grow and development;
  • Internal startup incubator;
  • Health insurance;
  • English courses;
  • Sports activities to promote a healthy lifestyle;
  • Flexible work options, including remote and hybrid opportunities;
  • Referral program for bringing in new talent;
  • Work anniversary program and additional vacation days.

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